Table 2.
Association between serum IGF-1 concentrations and COVID-19 mortality
| Quartile of log-transformed IGF-1 levels, OR (95% CI)a | P-trendb | OR per 1-SD incrementc | Adjusted OR per 1-SD incrementd | ||||
|---|---|---|---|---|---|---|---|
| Q1 | Q2 | Q3 | Q4 | ||||
| No. of cases | 142 | 105 | 100 | 68 | |||
| Model 1 | Ref | 0.70 (0.50–0.97) | 0.76 (0.55–1.07) | 0.53 (0.37–0.77) | 0.001 | 0.84 (0.74–0.95) | 0.80 (0.68–0.94) |
| Model 2 | Ref | 0.74 (0.53–1.04) | 0.86 (0.61–1.21) | 0.59 (0.41–0.86) | 0.01 | 0.88 (0.78–0.99) | 0.85 (0.73–0.99) |
| Model 2 plus other factorse | Ref | 0.71 (0.49–1.02) | 0.90 (0.62–1.30) | 0.55 (0.37–0.83) | 0.02 | 0.85 (0.74–0.98) | 0.81 (0.68–0.97) |
OR, odds ratio; CI, confidence interval; ref, reference
aModel 1: adjusted for age at infection, sex, ethnicity. Model 2: additionally adjusted for Townsend deprivation index, body mass index, smoking status, alcohol drinking, physical activity, and prevalent diabetes
bP-trend was based on the median value of each quartile of log-transformed IGF-1 levels as a continuous variable in the models
cSD was the standard deviation of log-transformed IGF-1 levels, which was 0.30
dORs per SD increment were additionally corrected for the intraclass correlation coefficient (0.78) obtained from the subsample of participants with repeat IGF-1 measurements
eModel 2 plus additional adjustment for serum glucose, cardiovascular risk factors (serum lipids, blood pressure, cholesterol lowering and antihypertensive medications), and C-reactive protein. A total of 236 participants had missing data on serum glucose, lipids, or C-reactive protein